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Wavelet Denoising Technique for Improvement of the Low Cost MEMS-GPS Integrated System

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Authors
Kang, Chul Woo; Kang, Chang Ho; Park, Chan Gook
Issue Date
2010-10-27
Citation
2010 International Symposium on GPS/GNSS, Taipei, Taiwan, October 26-28, 2010
Keywords
low cost MEMS/GPS integrated systemWavelet denoisingMEMS inertial sensor
Abstract
In this paper, wavelet signal processing technique is
applied to improving navigation signals. Low cost MEMS
signals can be distorted with conventional pre-filtering
method such as low-pass filtering which causes unwanted
smoothing on real signals. However, wavelet thresholding
method does not distort the rapidly-changing signal but
reduces signal noise. This paper has applied thresholding
method to low cost MEMS/GPS integrated navigation
system and verified the improvement of the navigation
performance by the experiment.
Language
English
URI
https://hdl.handle.net/10371/70617
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Mechanical Aerospace Engineering (기계항공공학부)Others_기계항공공학부
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